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EECS Spring 2014 Department Seminar

Presenter: 
Mehdi Kiani
Title: 
Wireless Technologies for Advanced Bio-systems
Affiliation: 
Faculty Candidate
Location: 
White Bldg., Room 411
Time: 
11:30 AM - 12:30 PM
Date: 
March 25, 2014

Wireless technologies play important roles in advanced bio-systems to transfer power to the bio-system, and communicate with the bio-system for command and control or data acquisition. Implantable microelectronic devices (IMDs) are a rapidly growing category of bio-systems, where the use of wireless technology is a necessity. IMDs have been quite successful in neuroprosthetic devices, such as cochlear/retinal implants and deep brain stimulators. They are also being considered for brain-computer interfacing to enable individuals with severe physical disabilities to control their environments. In this talk, I will present several system- and circuit-level techniques towards the development of a novel multi-band wireless data/power transmission link for an inductively-powered wireless implantable neural-recording/stimulation system. In advanced IMDs, due to battery size, weight, and lifetime limitations, power transmission across a pair of inductively-coupled coils is commonly utilized. The data link is also intended to handle wide bidirectional communication bandwidth with the IMD. The expected long-term and uninterrupted operation in IMDs outlines the need for efficient design of the inductive link and power-management circuits in the power link. Low-power and wideband data transmission techniques in the presence of power carrier interference become especially important for the inductively-powered IMDs where received power is limited. Moreover, neural interfacing in enriched environments for behavioral neuroscience studies on freely-behaving animal subjects outlines the need for automated instruments without the intervention from the human researcher. The proposed wireless data/power transmission techniques in this talk will address the abovementioned constraints. Such techniques have also promising prospects for use in radio-frequency identification (RFID), smartcards, near-field communication (NFC), wireless sensors, and charging mobile devices and electric vehicles.

Biography: 

Mehdi Kiani was born in Shiraz, Iran in 1983. He received his B.S. degree at Shiraz University in 2005 and his M.S. degree at Sharif University of Technology in 2008. During his M.S. studies, he designed oscillators and frequency synthesizers for RF applications. He started his Ph.D. at the Georgia Institute of Technology in 2009. He received his M.S. and Ph.D. degrees in Electrical and Computer Engineering in 2012 and 2013, respectively. Currently, he is a postdoctroal Research Fellow at the Georgia Institute of Technology. His research interest is system integration and Analog/RF integrated circuit design for biomedical application. Mehdi is the recipient of the Georgia Tech Sigma Xi Best PhD Thesis Award, and Georgia Tech Chih Foundation Research Award for excellent research in the fields of engineering and health sciences.